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roberta-large-with-labeled-data-and-unlabeled-gab-reddit-semeval2023-task10-13300-labeled-sample
This model is a fine-tuned version of HPL/roberta-large-unlabeled-gab-reddit-semeval2023-task10-57000sample on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7889
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.9921 | 1.0 | 832 | 1.9311 |
1.9284 | 2.0 | 1664 | 1.8428 |
1.8741 | 3.0 | 2496 | 1.8364 |
1.816 | 4.0 | 3328 | 1.7889 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.10.3